Data Analyst

About the Role We are looking for a proactive, business-minded Data Analyst to join our team. In this role, you will be the bridge between complex data and strategic execution, transforming raw operational and business data into high-impact insights and production-grade dashboards. You will work closely with our Engineering, Product, and Operations teams to build scalable analytics solutions, define core performance metrics, and support data-driven decision-making across the company. This is a high-ownership role suited for someone who thrives in a fast-paced environment and is comfortable wearing multiple hats. Key Responsibilities Dashboard & Reporting Architecture: Design, build, and maintain robust, production-level BI dashboards (Tableau / Metabase / Power BI) to track core business KPIs, operational health, and user metrics. Cross-Functional Collaboration: Partner directly with Software Engineers, and Operations to translate ambiguous business requirements into actionable data pipelines and analytical frameworks. Deep-Dive Analytics & Insights: Conduct exploratory data analysis to identify trends, pinpoint operational bottlenecks, and uncover growth opportunities across business units. Data Hygiene & Infrastructure Support: Collaborate with the tech team to validate data accuracy, define event schemas, optimize SQL queries, and ensure reporting consistency across all platforms. Metric Standardization: Lead efforts to define, document, and standardize key performance indicators (KPIs) across different departments to ensure a single source of truth. Requirements Requirements & Qualifications Technical Stack: Proficiency in SQL (advanced queries, aggregations, window functions, and performance tuning). Hands-on experience with visualization tools. Familiarity with Python or R for exploratory data manipulation, scripting, and statistical analysis is a strong plus. Experience & Mindset: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative fields (or equivalent practical experience). Experience working in a tech startup, fast-scaling environment, or high-velocity analytical setting. Strong business acumen: able to see the business logic and user behavior behind the numbers, not just run queries. Self-starter with high ownership—comfortable operating independently with minimal handholding while knowing when to align. Communication & Languages: Excellent interpersonal and storytelling skills—capable of explaining analytical findings clearly to both technical engineers and non-technical business stakeholders. Strong working proficiency in English; fluency in Cantonese and/or Mandarin is an advantage. Benefits Dynamic, flat-structured, and collaborative startup culture with high visibility and direct impact on business direction. Opportunity to work with cutting-edge tools and a top-tier cross-functional team. Competitive compensation package and clear growth opportunities.